I am Vice President of AI for Science at GSK.ai. My work aims to advance personalised medicine by utilising machine learning, computational systems biology methods, large language model (LLM)-enabled agents and large-scale health data, such as genetics, multi-omics, cell-based assays, and continuous measurements from smart devices and electronic health records, to better understand and treat complex diseases.

Prior to joining GSK, I was Principal Architect working on Machine Learning for Personalised Medicine at Roche in Basel, Switzerland and at Genentech in South San Francisco, US. Before joining Roche, I was a doctoral researcher working on Machine Learning for Healthcare at ETH Zurich. Prior to ETH Zurich, I spent 5 years building custom data-driven software solutions in industry. I hold a PhD in Machine Learning (2019) from ETH Zurich, Switzerland, a MSc in Computer Science (2015) with distinction from the University of Vienna, Austria and a BSc in Computer Science (2013) with honors from Technikum Vienna, Austria.